12 March 2010 Web-accessible cervigram automatic segmentation tool
Author Affiliations +
Proceedings Volume 7628, Medical Imaging 2010: Advanced PACS-based Imaging Informatics and Therapeutic Applications; 76280Z (2010); doi: 10.1117/12.844336
Event: SPIE Medical Imaging, 2010, San Diego, California, United States
Abstract
Uterine cervix image analysis is of great importance to the study of uterine cervix cancer, which is among the leading cancers affecting women worldwide. In this paper, we describe our proof-of-concept, Web-accessible system for automated segmentation of significant tissue regions in uterine cervix images, which also demonstrates our research efforts toward promoting collaboration between engineers and physicians for medical image analysis projects. Our design and implementation unifies the merits of two commonly used languages, MATLAB and Java. It circumvents the heavy workload of recoding the sophisticated segmentation algorithms originally developed in MATLAB into Java while allowing remote users who are not experienced programmers and algorithms developers to apply those processing methods to their own cervicographic images and evaluate the algorithms. Several other practical issues of the systems are also discussed, such as the compression of images and the format of the segmentation results.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhiyun Xue, Sameer Antani, L. Rodney Long, George R. Thoma, "Web-accessible cervigram automatic segmentation tool", Proc. SPIE 7628, Medical Imaging 2010: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 76280Z (12 March 2010); doi: 10.1117/12.844336; https://doi.org/10.1117/12.844336
PROCEEDINGS
8 PAGES


SHARE
KEYWORDS
Image segmentation

MATLAB

Java

Algorithm development

Cervix

Image compression

Tissues

Back to Top